DocumentCode :
1376327
Title :
Video Steganalysis Exploiting Motion Vector Reversion-Based Features
Author :
Cao, Yun ; Zhao, Xianfeng ; Feng, Dengguo
Author_Institution :
State Key Lab. of Inf. Security, Inst. of Software, Beijing, China
Volume :
19
Issue :
1
fYear :
2012
Firstpage :
35
Lastpage :
38
Abstract :
Unlike traditional image or video steganography in spatial/transform domain, motion vector (MV)-based methods target the internal dynamics of video compression and embed messages while performing motion estimation. However, we have noticed that some existing methods adopt nonoptimal selection rules and modify MVs in somewhat arbitrary manners which violate the encoding principles a lot. Aiming at these weaknesses, we design a calibration-based approach and propose MV reversion-based features for steganalysis. Experimental results demonstrate that the proposed features are very sensitive to the tendency of MV reversion during calibration and can be used to effectively detect some typical MV-based steganography even with low embedding rates.
Keywords :
data compression; motion estimation; steganography; video coding; embed messages; image steganography; motion estimation; motion vector reversion-based features; motion vector-based methods; spatial/transform domain; video compression internal dynamics; video steganalysis; video steganography; Calibration; Encoding; Image reconstruction; Motion estimation; Vectors; Calibration; MPEG; motion vector; steganalysis; video;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2011.2176116
Filename :
6081898
Link To Document :
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